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Depression is a prevalent mental illness marked by persistent sadness and lack of interest in previously enjoyable activities. It can take several forms, including major depression, persistent depressive disorder, and bipolar I and II disorders. Symptoms range from emotional changes like chronic worry to physical changes like sleep disturbances and suicidal thoughts. From a neurobiological perspective, depression is believed to be triggered by abnormalities in the brain's prefrontal cortex,...
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Frontostriatal salience network expansion in individuals in depression.

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Individuals with depression show an expanded salience network in the brain, a trait-like feature detectable even in children. This brain network change, along with frontostriatal circuit alterations, may predict depression onset and symptom fluctuations.

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Area of Science:

  • Neuroscience
  • Psychiatry
  • Brain Imaging

Background:

  • Previous neuroimaging studies reveal subtle brain differences in depression, limiting mechanistic understanding and risk factor identification.
  • Depression is episodic, yet few longitudinal neuroimaging studies exist to explain mood state transitions.
  • Precision functional mapping in healthy individuals shows behaviorally meaningful brain network differences, but this approach was unexplored in depression.

Purpose of the Study:

  • To investigate brain network topography in depression using precision functional mapping.
  • To identify trait-like brain alterations associated with depression risk.
  • To understand dynamic connectivity changes related to mood states and symptom fluctuations.

Main Methods:

  • Utilized precision functional mapping with deeply sampled individuals across multiple cohorts.
  • Analyzed longitudinal neuroimaging data, including up to 62 scans over 1.5 years for some participants.
  • Examined network border shifts and frontostriatal circuit connectivity.

Main Results:

  • The frontostriatal salience network was found to be nearly twofold expanded in the cortex of most individuals with depression.
  • This expansion was stable over time, unaffected by mood state, and present in children before depression onset.
  • Longitudinal analyses revealed frontostriatal connectivity changes that tracked specific symptoms and predicted future anhedonia.

Conclusions:

  • A trait-like brain network topology, specifically salience network expansion, may confer risk for depression.
  • Mood-state-dependent connectivity changes in frontostriatal circuits predict the emergence and remission of depressive symptoms.
  • Precision functional mapping offers new insights into the neural mechanisms underlying depression and its temporal dynamics.